AI Engineer

Vantix Systems Inc.; Edmonton; On-site; CAD 95,000 - 150,000; Full time

Job summary

Vantix Systems Inc. in Canada is seeking a Forward Deployed AI Engineer to embed with our Investment, Client & Support teams, understanding workflows firsthand and building AI-powered solutions that deliver measurable value.

This hands-on, delivery-focused role scopes, prototypes, validates with the business, and ships production-grade solutions spanning automation, workflow orchestration, and client-facing tooling using AI-native development tools.

Qualifications

• Software engineering with hands-on AI-native tooling in daily work.
• Experience integrating LLMs and AI-powered workflows.
• Familiarity with MCP, REST APIs and microservice patterns.
• Cloud platform experience and modern AI tooling exposure.

Responsibilities

• Design and deliver AI-powered solutions spanning automation and workflow orchestration.
• Prototype rapidly, validate with business units, and ship production-grade tooling.
• Build integrations to data sources and document management systems.
• Own end-to-end delivery from scoping to deployment.
• Provide enablement, training, and documentation on AI tooling.

Skills

AI-native development tools

LLM integration

LangChain/LangGraph/AutoGen

REST APIs & microservices

Cloud platforms

Problem solving in ambiguity

Asset management domain knowledge

Autonomy & ownership

Tools

LangChain

LangGraph

AutoGen

REST APIs

Job description

We are seeking a Forward Deployed AI Engineer to embed directly with our Investment, Client & Support teams, to understand their workflows first-hand, and build AI-powered solutions that deliver measurable and tangible value.

This is a hands-on, delivery-focused role. You will scope and prototype rapidly, validate with the business, and ship production-grade solutions spanning automation, workflow orchestration, and client-facing tooling - using AI-native tooling across the entire lifecycle, from design and testing through to documentation. You will build on platforms such as Microsoft (Copilot, Cowork, Studio, Foundry) then work with engineering and the broader AI platform team to generalise what you learn into reusable platform capabilities.

The successful candidate combines strong business understanding across asset management with genuine software-engineering depth and daily fluency in AI-native development tools. You will be equally comfortable distilling an ambiguous business problem, writing production code, and teaching a team to use AI effectively and responsibly.

The Opportunity

• Apply cutting-edge AI to complex professional settings and retail and banking, developing deep expertise with leading LLMs.
• Build intimate domain expertise in how our users so that solutions fit the real workflow.
• Become a core, trusted AI advisor to our stakeholders, driving adoption, value, and growth.
• Optimise processes for scale by defining and continually enhancing the internal workflows that shape and improve how we work.
• Own problems in ambiguity, operating with autonomy in fast-moving, unstructured environments - quickly distilling complex problems, learning on the fly, and driving to actionable solutions across customer and product needs.

Key Responsibilities

Solution design & delivery

• Understand the business problem first, then leverage AI tools to accelerate solution design, building analytics and modelling solutions grounded in domain expertise.
• Partner with Business stakeholders, and architects to design, prototype, and deliver AI-powered solutions spanning automation, workflow orchestration, and client-facing tooling.
• Run tasks end-to-end, from scoping and prototyping through to deployment, using AI-native tooling throughout - not just for coding, but across design, testing, and documentation.
• Write production code that deploys through our pipelines and meets our engineering standards.
• Build custom integrations, workflow automations, and domain-specific solutions on top of Barings AI platform, including connectors to business data sources and document management systems.
• Prototype fast, validate with the business, iterate, and ship.

Forward-deployed engagement

• Own the technical relationship with the business team throughout each engagement.
• Support the delivery of investment, client & operational workflows, identify high-value AI use cases, and build proofs of concept that demonstrate measurable impact.
• Return from engagements and work with engineering and product to generalise reusable patterns into platform capabilities.
• Participate in architecture discussions alongside core engineering.

Enablement & training

• Deliver hands-on training, office hours, demos, and documentation that teach effective and responsible use of AI tooling - including prompting practices, workflow integration, and limitations.

Platform contribution & feedback loop

• Build and contribute to AI platform architecture standards, including prompt-engineering patterns, agentic workflow design, and LLM integration guidelines.
• Collaborate with the wider technology and AI Platform teams to specify the dependencies analytical solutions require, such as data, development environments, and tooling.
• Collect, structure, and synthesize user feedback, pain points, and feature requests, translating them into clear requirements and prioritised recommendations for the AI Platform team.
• Identify patterns across teams to surface high-impact opportunities, quantify potential impact, and highlight use cases with broader applicability across the wider AI organization.

Responsible AI, risk & control

• Champion responsible AI usage, ensuring deployments adhere to firm policies on data security, model governance, and compliance.
• Demonstrate conformance to all Barings Enterprise Risk Management policies.
• Ensure all development activities are undertaken within the defined control environment.

Qualifications

Required Skills & Experience

• Software engineering experience with demonstrable, recent use of AI-native development tools as a core part of your daily workflow.
• Daily proficiency with AI coding tools such as Claude or GitHub Copilot.
• Hands-on LLM integration experience.
• Working knowledge of MCP (Model Context Protocol), REST APIs, and microservices architecture.
• Cloud platform experience.
• Experience with agentic frameworks such as LangChain, LangGraph, AutoGen, or similar.
• Strong analytical skills - the ability to understand a business problem first, then apply AI tools to accelerate solution design.
• Strong business understanding across asset management, with relevant domain expertise across investments, operations, data, and workflows.
• Initiative and ownership, with a track record of running tasks end-to-end with autonomy.

Preferred

• Experience with Microsoft 365 Copilot, Copilot Cowork, and Copilot Studio.
• Familiarity with prompt-engineering patterns and agentic workflow design.
• Experience building connectors to document management systems and enterprise data sources.
• Experience delivering enablement - training, office hours, and documentation - to non-technical audiences.

At Aplin - together with our brands CompuStaff, Impact Recruitment, and Vantix Systems - we connect great people with great organizations across North America. We believe diverse teams build stronger companies, and we welcome applicants from all backgrounds, experiences, and perspectives. We use AI tools to assist in a fair and efficient matching process, helping our recruiters connect the right people with the right opportunities. To be considered, applicants must be legally entitled to work in Canada, including holding any required permits. Our recruitment services are always free for job seekers. Accommodation is available upon request throughout all stages of the recruitment process.